Koper vs Čelik: result 4-0 and analysis
UEFA Europa League1st Qualifying RoundKick-off on July 10, 2014 at 06:30 PM (UTC)ŠRC Bonifika, Koper
Full time
What was the result of Koper vs Čelik?
Koper won 4-0 on July 10, 2014.
Goalscorers
- 10′Jaka ŠtromajerKoper
- 17′Goran GalešićKoper (pen.)
- 90′Matej PučkoKoper
- 90′Goran GalešićKoper
Official lineup for Koper vs Čelik
The starting elevens fielded at kick-off.
Koper
- 30Jaka Štromajer
- 7Ivica Guberac
- 11Perica Ivetić
- 14Goran Galešić
- 20D. Črnigoj
- 29M. Palčič
- 33M. Čovilo
- 3Miha Gregorič
- 5M. Blažič
- 16Denis Halilović
- 25B. Radošević
Čelik
- 10Milos Dalac
- 8Zijad Adrović
- 9I. Ivanović
- 11Nebojsa Prtenjak
- 25Bojan Kalezić
- 29Predrag Brnović
- 4Danilo Vuković
- 15N. Bubanja
- 19D. Bulatović
- 20Predrag Videkanic
- 1V. Giljen
What is the recent form of both teams?
In their last match in all competitions, Koper have 1 win, 0 draws and 0 defeats; Čelik have 0, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 3, 2014 | Čelik(away) | 5-0 | UEFA Europa League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 3, 2014 | Koper(home) | 0-5 | UEFA Europa League |
What does the head-to-head say?
In the last meeting: 1 Koper win, 0 draws, 0 Čelik wins.
| Date | Score | Competition |
|---|---|---|
| Jul 3, 2014 | Čelik 0-5 Koper | UEFA Europa League |
How many goals should we expect?
Koper score 5.0 and concede 0.0 goals per match in their last match; Čelik score 0.0 and concede 5.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Koper | 5.0 | 0.0 | 1 | 0/1 | 1/1 |
| Čelik | 0.0 | 5.0 | 0 | 0/1 | 1/1 |
Over the last match in all competitions.
A question about Koper vs Čelik?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy